首页|Zhejiang University Reports Findings in Machine Learning (Electrolyte Design Cha rt Reframed by Intermolecular Interactions for High-Performance Li-Ion Batteries )
Zhejiang University Reports Findings in Machine Learning (Electrolyte Design Cha rt Reframed by Intermolecular Interactions for High-Performance Li-Ion Batteries )
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Hangzhou, People's Repub lic of China, by NewsRx journalists, research stated, "Developing advanced elect rolytes has been regarded as a pivotal strategy for enhancing the electrochemica l performance of batteries; however, the criteria for electrolyte design remain elusive. In this study, we present an electrolyte design chart reframed through intermolecular interactions." Financial supporters for this research include National Natural Science Foundati on of China, Natural Science Foundation of Zhejiang Province.
HangzhouPeople's Republic of ChinaAs iaChemicalsCyborgsElectrochemicalsElectrolytesEmerging TechnologiesI norganic ChemicalsMachine Learning
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